The proposed CapsField solution first utilizes CNNs to independently extract spatial features from the two input sequences, i.e., horizontal and vertical SA sequences. To this end, the VGG-16 [1]} and Resnet50 [2]} CNN architectures have been, respectively, used for the face and expression recognition tasks. As both CNNs have been trained on the large-scale VGG-Face 2 dataset [3]}, the proposed solution will not suffer from overfitting and there is no additional training performed at this stage. More details about the used pre-trained models are provided in Section V-D.
